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Create incident-learning skill that converts operational incident and near-miss evidence into verified, owned improvements across product, code, tests, evals, operations, and governance domains. - SKILL.md: progressive disclosure with loading guide, routing table, ownership boundaries, and core principles (evidence/inference/ uncertainty separation, ticket-closure rejection, no-blame design) - README.md: human-facing with all 5 required sections - references/discovery-brief.md: bounded survey comparing SRE, QA, verification, agent-evals, product-lifecycle-learning, implementation-planning, resilience-and-recovery, production-readiness - references/: evidence/inference taxonomy, escaped-from analysis, follow-up domains, verification and closure standard - templates/: incident-learning record, causal/evidence ledger, follow-up work map, verification and closure record - evals/evals.json: 5 schema-valid cases (noisy report, monitoring gap, process failure, agent authority failure, non-actionable rejection) - Regenerated catalogs and updated root README and skill-triggers Closes #200 Co-authored-by: username <username> Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>